Changes in leaf economic trait relationships across a precipitation gradient are related to differential gene expression in a <scp>C<sub>4</sub></scp> perennial grass

The leaf economics spectrum (LES) describes a suite of functional traits that consistently covary at large spatial and taxonomic scales. Despite its importance at these larger scales, few studies have examined the major drivers of intraspecific variation in the LES - phenotypic plasticity and standing genetic variation. Using experimental precipitation manipulations, we examined whether covariation among leaf economics traits and selection on leaf economics traits and trait combinations change as diverse genotypes of the widespread perennial grass Panicum virgatum are exposed to differences in precipitation. We also used RNA-Seq to examine whether groups of co-expressed genes that align with leaf economics traits function in processes hypothesized to underlie the LES. Water availability impacted leaf economics trait covariation in important ways - covariation between leaf economics traits and selection on covariation between traits (i.e. correlational selection) tended to be strongest when water availability was high. Additionally, many genes associated with leaf economics traits functioned in processes that may explain how the LES originates, such as chloroplasts, cell walls, and nitrogen metabolism. Water availability is likely an important modulator of selection and evolution of the LES in P. virgatum that can be better understood by examining gene expression.

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Publication Details

Journal
New Phytologist
Published
2025-03-28
DOI
https://doi.org/10.1111/nph.70089
Citations
1
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
2.31

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article

Changes in leaf economic trait relationships across a precipitation gradient are related to differential gene expression in a C4 perennial grass

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1 citations
New Phytologist
Ecology and Vegetation Dynamics Studies
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article

Changes in leaf economic trait relationships across a precipitation gradient are related to differential gene expression in a C4 perennial grass

Thomas Juenger, Robert W. Heckman, Michael J. Aspinwall, David B. Lowry, Samuel H. Taylor, Jason Bonnette, Philip A. Fay, Samsad Razzaque, Albina Khasanova
article en
1 citations

Abstract

The leaf economics spectrum (LES) describes a suite of functional traits that consistently covary at large spatial and taxonomic scales. Despite its importance at these larger scales, few studies have examined the major drivers of intraspecific variation in the LES - phenotypic plasticity and standing genetic variation. Using experimental precipitation manipulations, we examined whether covariation among leaf economics traits and selection on leaf economics traits and trait combinations change as diverse genotypes of the widespread perennial grass Panicum virgatum are exposed to differences in precipitation. We also used RNA-Seq to examine whether groups of co-expressed genes that align with leaf economics traits function in processes hypothesized to underlie the LES. Water availability impacted leaf economics trait covariation in important ways - covariation between leaf economics traits and selection on covariation between traits (i.e. correlational selection) tended to be strongest when water availability was high. Additionally, many genes associated with leaf economics traits functioned in processes that may explain how the LES originates, such as chloroplasts, cell walls, and nitrogen metabolism. Water availability is likely an important modulator of selection and evolution of the LES in P. virgatum that can be better understood by examining gene expression.

New PhytologistVol. 246(4)
Salk Institute for Biological Studies (US), Agricultural Research Service (US), Grassland, Soil and Water Research Laboratory (US), Lancaster University (GB), The University of Texas at Austin (US), Michigan State University (US)
National Institute of Food and Agriculture, Division of Integrative Organismal Systems, Biological and Environmental Research, Rocky Mountain Research Station
Openalex Percentile: Top 16%
Ecology and Vegetation Dynamics Studies
2.31
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